This abstract has been accepted at the 2024 DHIS2 Annual Conference
Optimizing Data Quality Assessment (DQA) and Reporting: Lessons Learnt from Self-assessed DQA Implementation on DHIS2 in Nigeria
Method : The SDQA conducted from January to September 2022 adopted an agile design approach that emphasized iterative development, collaboration, flexibility, and user feedback. The approach entailed setting up validation rule category options, creating calculated fields (Min & Max values) scores of data availability and completeness, data integrity, and consistency, for each SDQA score dimension. A second level review and pilot of the SDQA using the APPR was conducted across selected health facilities (five sites with >1,000 clients on antiretroviral treatment (ART) and five sites with < 1,000 clients on ART) before scaling up to 617 health facilities. An analytic dashboard was developed to monitor progress on the assessments, covering all the 617 health facilities across 17 states in Nigeria. In analysing the data, we used Microsoft Excel to conduct a t test analysis comparing means of SDQA scores across the quarters. Results : Sixteen HIV program performance indicators were assessed for data availability and completeness with scores ranging from 29% to 90%, consistency scores from 30% to 87%, and data integrity scores from 30% to 90% across three quarters (January to September 2022). The result from t-test compares the means of SDQA scores of the assessment periods from January to September 2022. The findings for data availability and completeness scores (t (19) = 1.73, p < 0.001), with a mean score of 89.7, while consistency scores (t (15)=1.75, p< 0.001) with a mean score of 87.0 (95% Cl: 29.9, 87.0), integrity scores (t (15)= 1.75, p< 0.001) with a mean score of 90.0 (95% CI: 30.4, 90.0) from July to September 2022. There was a significant difference between the mean of January to March 2022 and July to September 2022 on SDQA performance. Conclusion: The results indicate a significant difference in the key dimensions of the data quality assessment within the periods of assessments, thereby recommending the approach to integrate SDQA in routine monitoring practices at lower levels to strengthen data quality along the value chain in the HIV program. To further strengthen the approach, it is imperative to have a central tracking platform like the APPR to fully appreciate and visualize the progress for insights for decision-making and system strengthening.
Primary Author: Ojemeiri Airaoje
Keywords:
USAID, State Ministry of Health, Nigeria, APPR, SDQA, OVC, Automated
4 Likes